Retrieval-Augmented Generation The development in artificial intelligence research, specifically large language models, is hard to miss.

The importance of rich learning environment In a previous blog post, I discussed a study demonstrating how the quality of chess players’ decisions is influenced by the improvement in the tools and materials available for learning the skill.

Advent of AI Large Language Models (LLMs) have become inescapable and are proving to be immensely helpful in numerous situations.

Big Data Throughout my scientific career, I have worked extensively with large observational datasets, ranging from NHS Electronic Health Records to decisions made in chess games.

The Profile Analysis of the Youngest GM in Chess, Abhimanyu Mishra.

To open full screen with rendered math expressions: Press c to clone the slides to a new browser window Press f to open full screen Press p to enter presenter mode - additional links and explanations Or you can follow this link: https://nvaci.

To open full screen with rendered math expressions: Press c to clone the slides to a new browser window Press f to open full screen Press p to enter presenter mode - additional links and explanations Or you can follow this link: https://nvaci.

To open full screen with rendered math expressions: Press c to clone the slides to a new browser window Press f to open full screen Press p to enter presenter mode - additional links and explanations Or you can follow this link: https://nvaci.

To open full screen with rendered math expressions: Press c to clone the slides to a new browser window Press f to open full screen Press p to enter presenter mode - additional links and explanations Or you can follow this link: https://nvaci.

Introduction to the module Throughout this course, we will cover three major statistical procedures a) Generalized linear models, b) Structural Equation Modelling, and c) Mixed-effects models.